Neng‐Fa Zhou

769 citations
39 papers · 330 · h-index 12

Impact in

  • Software top 10%
    • Logic, Reasoning, and Knowledge
    • Logic, programming, and type systems
    • AI-based Problem Solving and Planning
    • Semantic Web and Ontologies
    • Multi-Agent Systems and Negotiation

Papers in

Neng‐Fa Zhou

35 papers receiving 296 citations

Peers

Neng‐Fa Zhou
Comparison fields: 5 of 35
  • Software 33
  • Artificial Intelligence 245
  • Computational Theory and Mathematics 87
  • Computer Networks and Communications 109
  • Computer Vision and Pattern Recognition 91
Replace Vincent Vidal with:
Vincent Vidal France
Jak Kirman United States
Roberto Asín‐Achá Chile
Chris Reade United Kingdom
K. Subramani United States
Gabriele Röger Switzerland
Kasper Søe Luckow United States
Marcello M. Bersani Italy
Oliver Kullmann United Kingdom
Ron Alford United States
Neng‐Fa Zhou relative to Vincent Vidal France Vincent Vidal's profile →
Citations per field
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Citations per year

Countries citing papers authored by Neng‐Fa Zhou

Since Specialization
Citations

This map shows the geographic impact of Neng‐Fa Zhou's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Neng‐Fa Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neng‐Fa Zhou more than expected).

Fields of papers citing papers by Neng‐Fa Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neng‐Fa Zhou. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Neng‐Fa Zhou. The network helps show where Neng‐Fa Zhou may publish in the future.

Co-authors

The 25 scholars most cited alongside Neng‐Fa Zhou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Neng‐Fa Zhou Line = papers co-authored together Neng‐Fa Zhou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202049
2 201126
3 201823
4 201523
5 200322
6 201718
7
Generative modeling with failure in PRISM
200516
8 200115
9 200614
10 200712
11 201012
12 199612
13 202110
14 19909
15 20138
16 20127
17 19997
18
A high-level intermediate language and the algorithms for compiling finite-domain constraints
19985
19 20215
20 20045

About Neng‐Fa Zhou

Neng‐Fa Zhou is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Software and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 330 indexed citations. Recurring topics across this work include Logic, programming, and type systems (17 papers), Logic, Reasoning, and Knowledge (16 papers), Formal Methods in Verification (13 papers), Constraint Satisfaction and Optimization (9 papers), AI-based Problem Solving and Planning (7 papers), Semantic Web and Ontologies (6 papers), Model-Driven Software Engineering Techniques (6 papers) and Robotic Path Planning Algorithms (5 papers). The work is most often cited by research in Software (33 citations), Artificial Intelligence (245 citations), Computational Theory and Mathematics (87 citations), Computer Networks and Communications (109 citations) and Computer Vision and Pattern Recognition (91 citations). Neng‐Fa Zhou has collaborated with scholars based in United States, Japan and Czechia. Frequent co-authors include Taisuke Sato, Roman Barták, Roni Stern, Ariel Felner, Glenn Wagner, Dor Atzmon, Yi-Dong Shen, Yoshitaka Kameya, Agostino Dovier and Jia-Huai You. Their work appears in journals such as Theory and Practice of Logic Programming, The Journal of Logic Programming, Journal of Artificial Intelligence Research, ACM Transactions on Programming Languages and Systems and Software Practice and Experience.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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